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Data Visualization Manager Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

... data visualization, and operational reporting. Responsibilities include end to end solution ... managing and working with common databases (SQL Server, Oracle, MySql, etc.) Previous workplace ...

Data Analyst Manager

La Crosse, WI · On-site

$97.65K - $146.47K/yr

Experience with data visualization platforms such as Power BI, Sigma or similar tools * Knowledge of data governance, data quality management, and data privacy concepts * Familiarity with tools and ...

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... visualization tools - Experience in designing advanced analytics solutions - Coaching and ...

... data visualization tools such as Tableau or Qlik. • Experience with Agile methodologies for project management. Company : Baker Tilly is a leading advisory, tax and assurance firm, providing ...

Help prepare management reports and presentations. * Assist with KPI tracking and operational ... Familiarity with data visualization and reporting concepts * Basic SQL knowledge for data ...

... visualization and statistics applications to monitor product performance and implement improvements to data infrastructure. REPORTING TO/DEPARTMENT: Reports to the Measurement & Analysis Manager in ...

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Data Visualization Manager information

See Wisconsin salary details

$54.5K

$110.5K

$163K

How much do data visualization manager jobs pay per year?

As of May 30, 2026, the average yearly pay for data visualization manager in Wisconsin is $110,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Visualization Manager, and why are they important?

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges Data Visualization Managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

What does a Data Visualization Manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

What is the difference between Data Visualization Manager vs Data Analyst?

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

What are the most commonly searched types of Data Visualization jobs in Wisconsin? The most popular types of Data Visualization jobs in Wisconsin are:
What are popular job titles related to Data Visualization Manager jobs in Wisconsin? For Data Visualization Manager jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Visualization Manager jobs? Cities in Wisconsin with the most Data Visualization Manager job openings:

Data Analytics and Visualization

BMO U.S.

Milwaukee, WI • On-site

Full-time

Posted 28 days ago


BMO U.S. rating

8.6

Company rating: 8.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

22nd of 141 rated banks


Job description

Job Summary:
BMO U.S. is committed to creating lasting, positive change for its customers and communities. The Data Analytics and Visualization role involves designing dashboards, analyzing data, and providing insights through visualization techniques while collaborating with various teams to enhance data usability and aesthetics.
Responsibilities:
• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
• Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
• Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
• Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
• Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.
Qualifications:
Required:
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.
• Technical design optimization.
• Decision Making.
• Systems Thinking.
• Data visualization.
• Data storytelling.
• Data mining.
• Illustration.
• Creative thinking.
• Problem Solving.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Data driven decision making.
• Insights design.
• Insights development and reporting.
Company:
We’re a bank, but there’s more to it than that. We're a top ten bank in North America and have been serving our customers since 1817. Founded in 1882, the company is headquartered in Chicago, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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